pandas.DataFrame.rank

DataFrame.rank(axis=0, numeric_only=None, method='average', na_option='keep', ascending=True)

Compute numerical data ranks (1 through n) along axis. Equal values are assigned a rank that is the average of the ranks of those values

axis : {0, 1}, default 0

Ranks over columns (0) or rows (1)

numeric_only : boolean, default None

Include only float, int, boolean data

method : {‘average’, ‘min’, ‘max’, ‘first’}

average: average rank of group min: lowest rank in group max: highest rank in group first: ranks assigned in order they appear in the array

na_option : {‘keep’, ‘top’, ‘bottom’}

keep: leave NA values where they are top: smallest rank if ascending bottom: smallest rank if descending

ascending : boolean, default True

False for ranks by high (1) to low (N)

ranks : DataFrame